An additional advantage provided by LDA2Net topic networks consists in the possibility of sampling random walks, and by so doing generate sequences of words that represent topic-specific phrase fragments. Random walks in topic-specific word networks can also be used for identifying topic communities (i.e., subtopics), for example through the walktrap community algorithm [1]}.
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